Abdul Chowdhury

Dr Abdul Chowdhury

Postdoctoral Research Fellow (B) (with PhD)

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.

Abdullahi Chowdhury completed his Doctor of Philosophy degree from Federation University Australia in 2020. He completed his Master of Information Technology degree (2006) from Monash University, Australia and his Bachelor of Information Technology degree (2004) from Central Queensland University, Australia.

Currently, he is working as a postdoctoral researcher at The University of Adelaide under the Modelling, Monitoring and Moderating Human-AI Interactions (M3HAI) project, which is a cross-disciplinary (School of Computer Science and School of Psychology) project involving experts in both AI and human decision-making. This project is funded by the Intelligent Decision Superiority Research Network (iDS), initiated by the Defense Science and Technology Group (DSTG).

He has more than ten years of industrial experience in Telstra, the Australian Taxation Office, and the Australia Post. He also worked as a sessional academic at Monash University, RMIT University, and Federation University.

He published his works in six different highly reputed journals, eight international conferences, and two book chapters. His research interest includes cyber security, intelligent transportation system, data analytics (dealing with imbalanced datasets), Syntactic signal processing, and game theoretic approaches.

  • Journals

    Year Citation
    2023 Chowdhury, A., Karmakar, G., Kamruzzaman, J., Das, R., & Newaz, S. H. S. (2023). An Evidence Theoretic Approach for Traffic Signal Intrusion Detection. Sensors, 23(10), 4646.
    2023 Chowdhury, A., Kaisar, S., Khoda, M. E., Naha, R., Khoshkholghi, M. A., & Aiash, M. (2023). IoT-Based Emergency Vehicle Services in Intelligent Transportation System. Sensors, 23(11), 17 pages.
    DOI Scopus6 WoS1
    2023 Edris, E. K. K., Aiash, M., Khoshkholghi, M. A., Naha, R., Chowdhury, A., & Loo, J. (2023). Performance and cryptographic evaluation of security protocols in distributed networks using applied pi calculus and Markov Chain. Internet of Things (Netherlands), 24, 20 pages.
    DOI Scopus1
    2022 Kaisar, S., & Chowdhury, A. (2022). Integrating oversampling and ensemble-based machine learning techniques for an imbalanced dataset in dyslexia screening tests. ICT Express, 8(4), 563-568.
    DOI Scopus9 WoS1
    2022 Das, R., Karmakar, G., Kamruzzaman, J., & Chowdhury, A. (2022). Measuring Trustworthiness of Smart Meters Leveraging Household Energy Consumption Profile. IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 3(2), 289-297.
    2021 Karmakar, G., Chowdhury, A., Das, R., Kamruzzaman, J., & Islam, S. (2021). Assessing Trust Level of a Driverless Car Using Deep Learning. IEEE Transactions on Intelligent Transportation Systems, 22(7), 4457-4466.
    DOI Scopus26 WoS14
    2021 Karmakar, G., Chowdhury, A., Kamruzzaman, J., & Gondal, I. (2021). A Smart Priority-Based Traffic Control System for Emergency Vehicles. IEEE Sensors Journal, 21(14), 15849-15858.
    DOI Scopus18 WoS7
    2021 Chowdhury, A., Karmakar, G., Kamruzzaman, J., & Islam, S. (2021). Trustworthiness of Self-Driving Vehicles for Intelligent Transportation Systems in Industry Applications. IEEE Transactions on Industrial Informatics, 17(2), 961-970.
    DOI Scopus39 WoS27
    2020 Chowdhury, A., Karmakar, G., Kamruzzaman, J., Jolfaei, A., & Das, R. (2020). Attacks on self-driving cars and their countermeasures: A survey. IEEE Access, 8, 207308-207342.
    DOI Scopus65 WoS32
    - Al Amin, M., Naznin, F., Yeasmin, M. N., Sarkar, M. S., Misor Mia, M., Chowdhury, A., & Islam, M. Z. (n.d.). High throughput biological sequence analysis using machine learning-based integrative pipeline for extracting functional annotation and visualization. F1000Research, 13, 161.
  • Book Chapters

    Year Citation
    2019 Chowdhury, A., Karmakar, G., & Kamruzzaman, J. (2019). The Co-Evolution of Cloud and IoT Applications: Recent and Future Trends. In S. Singh, & R. M. Sharma (Eds.), Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization (Vol. 1, pp. 213-234). Hershey, PA, USA: IGI Global.
    2017 Chowdhury, A., Karmakar, G., & Kamruzzaman, J. (2017). Survey of recent cyber security attacks on robotic systems and their mitigation approaches. In R. Kumar, P. Pattnaik, & P. Pandey (Eds.), Detecting and Mitigating Robotic Cyber Security Risks (pp. 284-299). United States, Beaverton: IGI Global.
    DOI Scopus14
  • Conference Papers

    Year Citation
    2023 Chowdhury, A., Nguyen, H., Ashenden, D., & Pogrebna, G. (2023). POSTER: A Teacher-Student with Human Feedback Model for Human-AI Collaboration in Cybersecurity. In Proceedings of the ACM Asia Conference on Computer and Communications Security (pp. 1040-1042). Melbourne, AUSTRALIA: ACM.
    2023 Chowdhury, A., Naha, R., Kaisar, S., Khoshkholghi, M. A., Ali, K., & Galletta, A. (2023). Information Fusion-based Cybersecurity Threat Detection for Intelligent Transportation System. In Proceedings - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2023 (pp. 96-103). Online: IEEE.
    2023 Chowdhury, A., & Nguyen, H. (2023). CoZure: Context Free Grammar Co-Pilot Tool for Finding New Lateral Movements in Azure Active Directory. In ACM International Conference Proceeding Series (pp. 426-439). HONG KONG, Hong Kong: ASSOC COMPUTING MACHINERY.
    2023 Chowdhury, A., Kaisar, S., & Naha, R. (2023). Bankruptcy prediction for imbalanced dataset using oversampling and ensemble machine learning methods. In AIP Conference Proceedings Vol. 2968. Brunei Darussalam: AIP Publishing.
    DOI Scopus1
    2023 Nath, S., Islam, M. M., Chowdhury, A., Rashid, M. R. A., Islam, M., Jabid, T., & Naha, R. (2023). Comprehensive Analysis of Feature Extraction Techniques and Runtime Performance Evaluation for Phishing Detection. In 2023 6th International Conference on Applied Computational Intelligence in Information Systems: Intelligent and Resilient Digital Innovations for Sustainable Living, ACIIS 2023 - Proceedings. IEEE.
    2021 Shafin, S. S., Prottoy, S. A., Abbas, S., Hakim, S. B., Chowdhury, A., & Rashid, M. M. (2021). Distributed Denial of Service Attack Detection Using Machine Learning and Class Oversampling. In Applied Intelligence and Informatics First International Conference, AII 2021, Nottingham, UK, July 30–31, 2021, Proceedings Vol. 1435 (pp. 247-259). Switzerland: Springer International Publishing.
    DOI Scopus7 WoS4
    2021 Chowdhury, A., Kaisar, S., Rashid, M. M., Shafin, S. S., & Kamruzzaman, J. (2021). Churn Prediction in Telecom Industry using Machine Learning Ensembles with Class Balancing. In 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2021 (pp. 6 pages). Piscataway, New Jersey, USA: IEEE.
    DOI Scopus2 WoS1
    2021 Shafin, S. S., Ahmed, M. M., Pranto, M. A., & Chowdhury, A. (2021). Detection of Android Malware using Tree-based Ensemble Stacking Model. In 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2021 (pp. 6 pages). Piscataway, New Jersey, USA: IEEE.
    DOI Scopus6 WoS1
    2019 Chowdhury, A., Karmakar, G., & Kamruzzaman, J. (2019). Trusted autonomous vehicle: measuring trust using on-board unit data. In Proceedings - 2019 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering, TrustCom/BigDataSE 2019 (pp. 787-792). online: IEEE.
    DOI Scopus10 WoS7
    2018 Rupok, Q. S. S., & Chowdhury, A. (2018). Using e-learning to engage unemployed rural women in aquaculture in Bangladesh to reduce poverty. In ACM International Conference Proceeding Series (pp. 6 pages). New York, NY, USA: Association for Computing Machinery.
    DOI Scopus1 WoS1
    2018 Chowdhury, A., Karmakar, G., Kamruzzaman, J., & Saha, T. (2018). Detecting intrusion in the traffic signals of an intelligent traffic system. In Information and Communications Security 20th International Conference, ICICS 2018, Lille, France, October 29-31, 2018, Proceedings Vol. 11149 LNCS (pp. 696-707). Lille, France: Springer International Publishing.
    DOI Scopus8
    2017 Chowdhury, A. (2017). Cyber attacks in mechatronics systems based on Internet of Things. In Proceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017 (pp. 476-481). Churchill, VIC, Australia: IEEE.
    DOI Scopus2 WoS2
    2016 Chowdhury, A. (2016). Recent cyber security attacks and their mitigation approaches - An overview. In Applications and Techniques in Information Security: 6th International Conference, ATIS 2016, Cairns, QLD, Australia, October 26-28, 2016, Proceedings Vol. 651 (pp. 54-65). Cairns, QLD, Australia: Springer Singapore.
    DOI Scopus29 WoS17
    2016 Chowdhury, A. (2016). Priority based and secured traffic management system for emergency vehicle using IoT. In Proceedings - 2016 International Conference on Engineering and MIS, ICEMIS 2016 (pp. 6 pages). Agadir, Morocco: IEEE.
    DOI Scopus40 WoS11
  • Position: Postdoctoral Research Fellow (B) (with PhD)
  • Email: abdul.chowdhury@adelaide.edu.au
  • Campus: North Terrace
  • Building: Ingkarni Wardli, floor 5
  • Org Unit: Computer Science

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